Speaker illustration

Doctor Ebraham Alskaf

King's College London, London (United Kingdom of Great Britain & Northern Ireland)

Member of:

European Society of Cardiology

Hybrid Artificial Intelligence Outcome Prediction Using Feature Extraction from Stress Perfusion Cardiac Magnetic Resonance Images and Electronic Health Records

Event: ESC Congress 2023

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Session: Artificial intelligence: the new clinical workhorse?

Thumbnail

Machine learning outcome prediction using stress perfusion cardiac magnetic resonance and electronic health records

Event: EACVI 2023

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Session: Coronary Artery Disease 3

Thumbnail

The performance of the correction factor derived from ACTIV-LVOT study in aortic stenosis population using echocardiography

Event: EuroEcho-Imaging 2018

Topic: Valvular Heart Disease

Session: Echocardiography: Valve Disease

Thumbnail

The Performance of CT coronary angiography derived correction factor (ACTIV-LVOT Study) in assessing aortic valve disease by echocardiography

Event: EuroEcho-Imaging 2017

Topic: The echocardiographic examination and quality assessment

Session: New methods in the echocardiographic assessment of cardiac function

Thumbnail

Aortic valve area using cardiac CT to improve the validity of LVOT measurement (ACTIV-LVOT study)

Event: EuroEcho-Imaging 2016

Topic: Computed Tomography

Session: Cardiac imaging with computed tomography and radionuclide techniques: usefulness in miscellaneous patient subsets

Thumbnail

ESC 365 is supported by

logo Novo Nordisk
logo Bristol Myers Squibb